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Data mining algorithms in C++ = data...
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Masters, Timothy.
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Data mining algorithms in C++ = data patterns and algorithms for modern applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data mining algorithms in C++/ by Timothy Masters.
其他題名:
data patterns and algorithms for modern applications /
作者:
Masters, Timothy.
出版者:
Berkeley, CA :Apress : : 2018.,
面頁冊數:
xiv, 286 p. :ill., digital ;24 cm.
內容註:
1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program.
Contained By:
Springer eBooks
標題:
Data mining. -
電子資源:
http://dx.doi.org/10.1007/978-1-4842-3315-3
ISBN:
9781484233153
Data mining algorithms in C++ = data patterns and algorithms for modern applications /
Masters, Timothy.
Data mining algorithms in C++
data patterns and algorithms for modern applications /[electronic resource] :by Timothy Masters. - Berkeley, CA :Apress :2018. - xiv, 286 p. :ill., digital ;24 cm.
1. Information and Entropy -- 2. Screening for Relationships -- 3. Displaying Relationship Anomalies -- 4. Fun With Eigenvectors -- 5. Using the DATAMINE Program.
Find the various relationships among variables that can be present in big data as well as other data sets. This book also covers information entropy, permutation tests, combinatorics, predictor selections, and eigenvalues to give you a well-rounded view of data mining and algorithms in C++. Furthermore, Data Mining Algorithms in C++ includes classic techniques that are widely available in standard statistical packages, such as maximum likelihood factor analysis and varimax rotation. After reading and using this book, you'll come away with many code samples and routines that can be repurposed into your own data mining tools and algorithms toolbox. This will allow you to integrate these techniques in your various data and analysis projects. You will: Discover useful data mining techniques and algorithms using the C++ programming language Carry out permutation tests Work with the various relationships and screening types for these relationships Master predictor selections Use the DATAMINE program.
ISBN: 9781484233153
Standard No.: 10.1007/978-1-4842-3315-3doiSubjects--Topical Terms:
562972
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Data mining algorithms in C++ = data patterns and algorithms for modern applications /
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